Work

PINN-based Dynamical Modeling and State Estimation in Power Inverters

Year: 2024

Type: conference-paper

Source: IEEE Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/ccta60707.2024.10666637

Authors: Markus Schumann, Knut Graichen

Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4402437069

FWCI: 5.051

Cites: 20

Cited by: 6

Related to: 10